InfoQ Homepage Artificial Intelligence Content on InfoQ
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Ethical Machine Learning with Explainable AI and Impact Analysis
As more decisions are made or influenced by machines, there’s a growing need for a code of ethics for artificial intelligence. The main question is, “I can build it, but should I?” Explainable AI can provide checks and balances for fairness and explainability, and engineers can analyze the systems' impact on people's lives and mental health.
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JAX London 2023: Team Dynamics, Developer Platforms, and the Adoption of AI
For the tenth time, Java fans attended JAX London in the first week of October. The keynotes argued that teams are the real product of software development, soft skills are anything but soft, developers should want to use internal platforms, and that AI won't take developer jobs – developers using AI will. JAX London will return in the first week of October 2024.
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PyTorch 2.1 Release Supports Automatic Dynamic Shape Support and Distributed Training Enhancements
PyTorch Conference 2023 presented an overview of PyTorch 2.1. ExecuTorch was introduced to enhance PyTorch's performance on mobile and edge devices. The conference also had a focus on community with new members added to the PyTorch Foundation and a Docathon announced.
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Nvidia Introduces Eureka, an AI Agent Powered by GPT-4 That Can Train Robots
Nvidia Research revealed that it has created a brand-new AI agent named Eureka that is driven by OpenAI's GPT-4 and is capable of teaching robots sophisticated abilities on its own.
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Google Cloud Ops Agent Can Now Monitor Nvidia GPUs
Google Cloud announced that Ops Agent, the agent for collecting telemetry from Compute Engine instances, can now collect and aggregate metrics from NVIDIA GPUs on VMs.
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GitHub Copilot Chat in Open Beta: Now Available for All Individuals in Visual Studio and VS Code
GitHub Copilot Chat is a chat interface that allows developers to ask and receive answers to coding-related questions directly within a supported IDE. It is currently in open beta and available for all GitHub Copilot individual users across Visual Studio and VS Code.
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A Modern Compute Stack for Scaling Large AI, ML, & LLM Workloads at QCon SF
Jules Damji, a lead developer advocate at Anyscale Inc., discussed the difficulties data scientists encounter when managing infrastructure for machine learning models. He emphasized the necessity for a framework that supports the latest machine learning libraries, is easily manageable, and can scale to accommodate large datasets and models. Damji introduced Ray as a potential solution.
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The Challenges of Producing Quality Code When Using AI-Based Generalistic Models
Using AI with generalistic models to do very specific things like generating code can cause problems. Producing code with AI is like using code from someone else who you don’t know which may not match your standards and quality. Creating specialised or dedicated models can be a way out.
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AI a “Must-Have” in GitLab’s 2023 Global DevSecOps Report
GitLab has released their 2023 Global DevSecOps AI report, with the key finding that AI and ML use is evolving from a "nice-to-have" to a "must-have". The report shows that 23% of organizations are already using AI in software development, and of those, 60% are using it daily. Furthermore, 65% of respondents said they are using AI and ML for testing now, or would be within the next three years.
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AI, ML, Data Engineering News Roundup: Stable Chat, Vertex AI, ChatGPT and Code Llama
The most recent update, which covers developments through September 4, 2023, highlights significant pronouncements and accomplishments in the fields of artificial intelligence, machine learning, and data science. Developments from Stability AI, Google, OpenAI, and Meta were among this week's significant stories.
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Weekly Update on Large Language Models: PointLLM, WALL-E, AskIt, and Jais
The most recent compilation of advanced research, inventive applications, and notable unveilings in the realm of Large Language Models (LLMs) during the week starting September 4th, 2023.
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Duet AI Integration for Google Apigee API Management and Application Integration
At its Cloud Next event, Google announced the introduction of Duet AI into its cloud services Apigee API Management and Application integration to support developers in building APIs, integration flows, and extensions that connect Vertex AI or ChatGPT to real-world data through APIs. These capabilities will come in a private preview through Google Cloud’s Trusted Tester program in the coming weeks
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Rider 2023.2 with C# Updates, UX/UI Enhancements and AI Assistant
Rider 2023.2 is now generally available. This version contains improvements to C# language support. They are related to code readability and improve the programming experience. Further, there are some UI/UX enhancements. JetBrains also presented AI Assistant, which for now has limited access.
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Google Cloud Unveils AlloyDB AI: Transforming PostgreSQL with Advanced Vector Embeddings and AI
During the recent Google Cloud Next, Google announced AlloyDB AI in preview as an integral part of AlloyDB for PostgreSQL, allowing developers to build generative (gen) Artificial Intelligence (AI) applications leveraging large language models (LLMs) with their real-time operational data through built-in, end-to-end support for vector embeddings.
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OpenAI Introduces ChatGPT Enterprise for Business-Focus
OpenAI is introducing ChatGPT Enterprise, which provides enterprise-grade protection and privacy, limitless higher-speed GPT-4 access, extended context windows for processing longer inputs, additional data analysis capabilities, customization possibilities, and much more.